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探索脾酪氨酸激酶活性抑制剂的化学空间、支架多样性和活性景观。

Exploring chemical space, scaffold diversity, and activity landscape of spleen tyrosine kinase active inhibitors.

机构信息

Department of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.

Department of Genetics and Bioinformatics, Dasman Diabetes Institute (DDI), Dasman, Kuwait.

出版信息

SAR QSAR Environ Res. 2024 Apr;35(4):325-342. doi: 10.1080/1062936X.2024.2345618. Epub 2024 May 1.

DOI:10.1080/1062936X.2024.2345618
PMID:38690773
Abstract

This study aims to comprehensively characterize 576 inhibitors targeting Spleen Tyrosine Kinase (SYK), a non-receptor tyrosine kinase primarily found in haematopoietic cells, with significant relevance to B-cell receptor function. The objective is to gain insights into the structural requirements essential for potent activity, with implications for various therapeutic applications. Through chemoinformatic analyses, we focus on exploring the chemical space, scaffold diversity, and structure-activity relationships (SAR). By leveraging ECFP4 and MACCS fingerprints, we elucidate the relationship between chemical compounds and visualize the network using RDKit and NetworkX platforms. Additionally, compound clustering and visualization of the associated chemical space aid in understanding overall diversity. The outcomes include identifying consensus diversity patterns to assess global chemical space diversity. Furthermore, incorporating pairwise activity differences enhances the activity landscape visualization, revealing heterogeneous SAR patterns. The dataset analysed in this work has three activity cliff generators, CHEMBL3415598, CHEMBL4780257, and CHEMBL3265037, compounds with high affinity to SYK are very similar to compounds analogues with reasonable potency differences. Overall, this study provides a critical analysis of SYK inhibitors, uncovering potential scaffolds and chemical moieties crucial for their activity, thereby advancing the understanding of their therapeutic potential.

摘要

本研究旨在全面描述 576 种针对脾酪氨酸激酶(SYK)的抑制剂,SYK 是一种主要存在于造血细胞中的非受体酪氨酸激酶,与 B 细胞受体功能有重要关联。目的是深入了解对活性至关重要的结构要求,这对各种治疗应用具有重要意义。通过计算化学分析,我们专注于探索化学空间、支架多样性和结构-活性关系(SAR)。我们利用 ECFP4 和 MACCS 指纹,阐明化合物与使用 RDKit 和 NetworkX 平台可视化网络之间的关系。此外,化合物聚类和相关化学空间的可视化有助于理解整体多样性。研究结果包括确定共识多样性模式,以评估全球化学空间多样性。此外,结合成对活性差异可增强活性景观可视化,揭示出异质的 SAR 模式。本工作分析的数据集有三个活性悬崖生成器,CHEMBL3415598、CHEMBL4780257 和 CHEMBL3265037,与 SYK 高度亲和的化合物与具有合理效力差异的类似物化合物非常相似。总体而言,本研究对 SYK 抑制剂进行了深入分析,揭示了对其活性至关重要的潜在支架和化学部分,从而加深了对其治疗潜力的理解。

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SAR QSAR Environ Res. 2024 Apr;35(4):325-342. doi: 10.1080/1062936X.2024.2345618. Epub 2024 May 1.
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